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stat.AP2025
A Method for the Time-Frequency Analysis of High-Order Interactions in Non-Stationary Physiological Networks
Yuri Antonacci, Chiara Bara', Laura Sparacino +3
Several data-driven approaches based on information theory have been proposed for analyzing high-order interactions involving three or more components of a network system. Most of…
stat.AP2025
Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors In Physiological Networks
Luca Faes, Gorana Mijatovic, Laura Sparacino +1
Objective: This work introduces a framework for multivariate time series analysis aimed at detecting and quantifying collective emerging behaviors in the dynamics of physiological…